rinkorn/distilbert-base-uncased-finetuned-imdb
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README.md
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---
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license: apache-2.0
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base_model: distilbert-base-
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tags:
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- generated_from_trainer
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model-index:
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# distilbert-base-uncased-finetuned-imdb
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This model is a fine-tuned version of [distilbert-base-
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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### Framework versions
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---
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license: apache-2.0
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base_model: Geotrend/distilbert-base-ru-cased
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tags:
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- generated_from_trainer
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model-index:
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# distilbert-base-uncased-finetuned-imdb
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This model is a fine-tuned version of [Geotrend/distilbert-base-ru-cased](https://huggingface.co/Geotrend/distilbert-base-ru-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.7537
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 96
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- eval_batch_size: 96
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 4.1884 | 1.0 | 990 | 3.9081 |
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| 3.9108 | 2.0 | 1980 | 3.7920 |
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| 3.8425 | 3.0 | 2970 | 3.7537 |
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### Framework versions
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model.safetensors
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